Stop the War, for Godsake!: A Text Analysis of Speeches of Volodymyr Oleksandrovych Zelenskyy, the Ukrainian President

References

• Allison, G. (2022). Putin's doomsday threat. Foreign Affairs. Retrieved June 29, 2022, from https://www.foreignaffairs.com/articles/ukraine/2022-04-05/putins-doomsday-threat
   Google Scholar
• Antwi-Boasiako, J., & Narkoh, E. (2021). Government communication during the COVID-19 pandemic in Ghana. International Journal of Public Administration, 44(13), 1175–1188. https://doi.org/10.1080/01900692.2021.1956950
   Web of Science ®Google Scholar
• Banerjee, S. (2008). Bayesian linear model: Gory details. http://www.biostat.umn.edu/~ph7440/pubh7440/BayesianLinearModelGoryDetails.pdf
   Google Scholar
• Barrett, A. W. (2004). Gone public: The impact of going public on presidential legislative success. American Politics Research, 32(3), 338–370. https://doi.org/10.1177/2F1532673X03260580
   Web of Science ®Google Scholar
• Baturo, A., Dasandi, N., & Mikhaylov, S. J. (2017). Understanding state preferences with text as data: Introducing the UN general debate corpus. Research & Politics, 4(2), 1–9. https://doi.org/10.1177/2F2053168017712821
   Web of Science ®Google Scholar
• Benoit, K., Watanabe, K., Wang, H., Nulty, P., Obeng, A., Muller, S., & Matsuo, A. (2018). Quanteda: An R package for the quantitative analysis of textual data. Journal of Open Source Software, 3(30), 774. https://doi.org/10.21105/joss.00774
   Google Scholar
• Brace, P., & Hinkley, B. (1993). Presidential activities from Truman through Reagan: Timing and impact. The Journal of Politics, 55(2), 382–398. https://doi.org/10.2307/2132271
   Web of Science ®Google Scholar
• Bucy, E. P. (2000). Emotional and evaluative consequences of inappropriate leader displays. Communication Research, 27(2), 194–226. https://doi.org/10.1177/2F009365000027002004
   Web of Science ®Google Scholar
• Canes-Wrone, B. (2001). The president’s legislative influence from public appeals. American Journal of Political Science, 45(2), 313–329. https://doi.org/10.2307/2669343
   Web of Science ®Google Scholar
• Cochrane, C., Rheault, L., Godbout, J. F., Whyte, T., Wong, M. W. C., & Borwein, S. (2022). The automatic analysis of emotion in political speech based on transcripts. Political Communication, 39(1), 98–121. https://doi.org/10.1080/10584609.2021.1952497
   Web of Science ®Google Scholar
• Cohen, J. E. (2010). Going local: Presidential leadership in the post-broadcast age. Cambridge University Press.
   Google Scholar
• Cryer, J. D., & Chan, K. S. (2008). Time series analysis: With applications in R (Vol. 2). Springer.
   Google Scholar
• Dada, S., Ashworth, H. C., Bewa, M. J., & Dhatt, R. (2021). Words matter: Political and gender analysis of speeches made by heads of government during the COVID-19 pandemic. BMJ Global Health, 6, e003910. https://doi.org/10.1136/bmjgh-2020-003910
   PubMed Web of Science ®Google Scholar
• De Castella, K., McGarty, C., & Musgrove, L. (2009). Fear appeals in political rhetoric about terrorism: An analysis of speeches by Australian Prime Minister Howard. Political Psychology, 30(1), 1–26. https://doi.org/10.1111/j.1467-9221.2008.00678.x
   Web of Science ®Google Scholar
• De Vries, E., Schoonvelde, M., & Schumacher, G. (2018). No longer lost in translation: Evidence that google translate works for comparative bag-of-words text applications. Political Analysis, 26(4), 417–430. https://doi.org/10.1017/pan.2018.26
   Web of Science ®Google Scholar
• Dobriansky, P., & Levine, R. (2022). Helping Ukraine win against Russia is a vital NATO interest. Wall Street Journal. Retrieved June 29, 2022, from https://www.wsj.com/articles/helping-ukraine-win-is-a-vital-nato-interest-russia-putin-donbas-natural-gas-missile-attack-war-invasion-11650036249
   Google Scholar
• Dzieciatko, M. (2019). Application of text analytics to analyze emotions in the speeches. In E. Pietka, P. Badura, J. Kawa, & W. Wieclawek (Eds.), Information technology in biomedicine. ITIB 2018. Advances in intelligent systems and computing (Vol. 762). Springer. https://doi.org/10.1007/978-3-319-91211-0_46
   Google Scholar
• Edwards, G. C., III. (2003). On deaf ears: The limits of the bully pulpit. Yale University Press.
   Google Scholar
• Enli, G. S., & Skogerbo, E. (2013). Personalized campaigns in party-centred politics: Twitter and Facebook as arenas for political communication. Information, Communication & Society, 16(5), 757–774. https://doi.org/10.1080/1369118X.2013.782330
   Web of Science ®Google Scholar
• Erisen, C. (2013). Emotions as a determinant in Turkish political behavior. Turkish Studies, 14(1), 115–135. https://doi.org/10.1080/14683849.2013.766987
   Web of Science ®Google Scholar
• Erisen, C., & Villalobos, J. D. (2014). Exploring the invocation of emotion in presidential speeches. Contemporary Politics, 20(4), 469–488. https://doi.org/10.1080/13569775.2014.968472
   Web of Science ®Google Scholar
• Eshbaugh-Soha, M., & Linebarger, C. (2014). Presidential and media leadership of public opinion on Iraq. Foreign Policy Analysis, 10(4), 351–369. https://doi.org/10.1111/fpa.12015
   Web of Science ®Google Scholar
• Firestone, J. M., & Harris, R. J. (2006). Support and opposition for invading Iraq: Did the President’s speech make a difference? International Journal of Public Administration, 29(10–11), 895–909. https://doi.org/10.1080/01900690600770629
   Google Scholar
• Frankel, J., & O’Sullivan, M. (2022). How the sanctions on Putin’s Russia are reshaping the world economic order. Retrieved June 29, 2022, from https://www.hks.harvard.edu/faculty-research/policycast/osullivan-and-frankel-how-sanctions-war-putins-russia-could-reshape#transcript
   Google Scholar
• Gardner, T., & Russell, A. (2022). Pandemic messaging: Congressional communication and the mechanisms of polarizing rhetoric. Congress & the Presidency, In press. https://doi.org/10.1080/07343469.2022.2121449
   Google Scholar
• Graham, P., Keenan, T., & Dowd, A.-M. (2004). A call to arms at the end of history: A discourse–historical analysis of George W. Bush’s declaration of war on terror. Discourse & Society, 15(2–3), 199–221. https://doi.org/10.1177/0957926504041017
   Web of Science ®Google Scholar
• Grimmer, J., & Stewart, B. (2013). Text as data: The promise and pitfalls of automatic content analysis methods for political texts. Political Analysis, 21(3), 267–297. https://doi.org/10.1093/pan/mps028
   Web of Science ®Google Scholar
• Heiss, R., Schmuck, D., & Matthes, J. (2019). What drives interaction in political actors’ Facebook posts? Profile and content predictors of user engagement and political actors’ reactions. Information, Communication & Society, 22(10), 1497–1513. https://doi.org/10.1080/1369118X.2018.1445273
   Web of Science ®Google Scholar
• Hyndman, R. J., & Athanasopoulos, G. (2018). Forecasting: Principles and practice. OTexts.
   Google Scholar
• Jacobs, L. R., & Shapiro, R. Y. (2000). Politicians don’t pander: Political manipulation and the loss of democratic responsiveness. University of Chicago Press.
   Google Scholar
• Kaur, M., Verma, R., & Otoo, F. N. K. (2021). Emotions in leader’s crisis communication: Twitter sentiment analysis during COVID-19 outbreak. Journal of Human Behavior in the Social Environment, 31(1–4), 362–372. https://doi.org/10.1080/10911359.2020.1829239
   Web of Science ®Google Scholar
• Krestel, R., Wall, A., & Nejdl, W. (2012). Treehugger or petrolhead? WWW 2012, Companion, (April 16-20) Lyon, France. (pp. 547–548).
   Google Scholar
• Krosnick, J. A., & Kinder, D. R. (1990). Altering the foundations of support for the president through priming. The American Political Science Review, 84(2), 497–512. https://doi.org/10.2307/1963531
   Web of Science ®Google Scholar
• Kubat, M., Macutek, J., & Cech, R. (2020). Communists spoke differently: An analysis of Czechoslovak and Czech annual presidential speeches. Digital Scholarship in the Humanities, 1–15. https://doi.org/10.1093/llc/fqz089
   Web of Science ®Google Scholar
• Laver, M., & Benoit, K. (2002). Locating TDs in policy spaces: Wordscoring daily speeches. Irish Political Studies, 17(1), 59–73. https://doi.org/10.1080/714003143
   Google Scholar
• Lenard, D. B., & Cosic, N. (2017). The analysis of metaphors and metonymies in political speeches-A case study of the former Croatian Prime Minister Ivo Sanader. English Language Research Journal, 61–81. https://www.bib.irb.hr/861054
   Google Scholar
• Liu, D., & Lei, L. (2018). The appeal to political sentiment: An analysis of Donald Trump’s and Hillary Clinton’s speech themes and discourse strategies in the 2016 US presidential election. Discourse, Context & Media, 25, 143–152. https://doi.org/10.1016/j.dcm.2018.05.001
   Web of Science ®Google Scholar
• Liu, H., & Wasserman, L. (2014). Statistical machine learning. CMU University.
   Google Scholar
• Lokot, T. (2018). #iamnotafraidtosayit: Stories of sexual violence as everyday political speech on Facebook. Information, Communication & Society, 21(6), 802–817. https://doi.org/10.1080/1369118X.2018.1430161
   Web of Science ®Google Scholar
• Loseke, D. R. (2009). Examining emotion as discourse: Emotion codes and presidential speeches justifying war. The Sociological Quarterly, 50(3), 497–524. https://doi.org/10.1111/j.1533-8525.2009.01150.x
   Web of Science ®Google Scholar
• Martella, A., & Bracciale, R. (2022). Populism and emotions: Italian political leaders’ communicative strategies to engage Facebook users. Innovation: The European Journal of Social Science Research, 35(1), 65–85. https://doi.org/10.1080/13511610.2021.1951681
   Web of Science ®Google Scholar
• Martin, J. (2013). A feeling for democracy? Rhetoric, power and the emotions. Journal of Political Power, 6(3), 461–476. https://doi.org/10.1080/2158379X.2013.846557
   Google Scholar
• Moilanen, M., & Ostbye, S. (2021). Doublespeak? Sustainability in the Arctic- a text mining analysis of Norwegian parliamentary speeches. Sustainability, 13, 9397. https://doi.org/10.3390/su13169397
   Web of Science ®Google Scholar
• Nye, J. S. (2022). Why China won’t mediate an end to the Ukraine war. Retrieved June 29, 2022, from https://www.project-syndicate.org/commentary/why-china-wont-mediate-end-to-russia-ukraine-war-by-joseph-s-nye-2022-04?barrier=accesspaylog
   Google Scholar
• Pasaribu, T. A. (2016). Domains of political metaphors in presidential speeches. LLT Journal: A Journal on Language and Language Teaching, 19(2), 96–104. https://doi.org/10.24071/llt.2016.190204
   Google Scholar
• Paul, N., & Sui, M. (2022). I can feel what you feel: Emotion exchanges in twitter conversations between candidates and the public. Journal of Political Marketing, 21(2), 75–195. https://doi.org/10.1080/15377857.2019.1684419
   Web of Science ®Google Scholar
• Payne, S. C., Youngcourt, S. S., & Beaubien, J. M. (2007). A meta-analytic examination of the goal orientation nomological net. The Journal of Applied Psychology, 92(1), 128–150. https://doi.org/10.1037/0021-9010.92.1.128
   PubMed Web of Science ®Google Scholar
• Peeters, J., Opgenhaffen, M., Kreutz, T., & Van Elst, P. (2023). Understanding the online relationship between politicians and citizens. A study on the user engagement of politicians’ Facebook posts in election and routine periods. Journal of Information Technology & Politics, 20(1), 44–59. https://doi.org/10.1080/19331681.2022.2029791
   Web of Science ®Google Scholar
• Penninck, H. (2014). An analysis of metaphor used in political speeches responding to the financial speeches responding to the financial crises of 1929 and 2008 [ Master’s thesis]. Universiteit Gent.
   Google Scholar
• Pennington, J., Socher, R., & Manning, C. D. (2014, October). Glove: Global vectors for word representation. In Proceedings of the 2014 conference on empirical methods in natural language processing (EMNLP), Doha, Qatar (pp. 1532–1543).
   Google Scholar
• Proksch, S.-O., Lowe, W., Wäckerle, J., & Soroka, S. (2018). Multilingual sentiment analysis: A new approach to measuring conflict in legislative speeches. Legislative Studies Quarterly, 44(1), 97–131. https://doi.org/10.1111/lsq.12218
   Web of Science ®Google Scholar
• Proksch, S.-O., & Slapin, J. B. (2009). Position taking in European parliament speeches. British Journal of Political Science, 40, 587–611. https://doi.org/10.1017/S0007123409990299
   Web of Science ®Google Scholar
• Ragsdale, L. (1987). Presidential speechmaking and the public audience: Individual presidents and group attitudes. The Journal of Politics, 49(3), 704–736. https://doi.org/10.2307/2131275
   Web of Science ®Google Scholar
• Rauh, C., & Schwalbach, J. (2020). The ParlSpeech V2 data set: Full-text corpora of 6.3 million parliamentary speeches in the key legislative chambers of nine representative democracies. Harvard Dataverse, V1 https://doi.org/10.7910/DVN/L4OAKN
   Google Scholar
• Řehůřek, R., & Sojka, P. (2011). Gensim—Statistical semantics in python. https://www.genism.org
   Google Scholar
• Reuters. (2014). Russia evokes World War Two in media blitz on Ukraine. Retrieved January 13, 2023, from https://www.reuters.com/article/uk-ukraine-crisis-russia/russia-evokes-world-war-two-in-media-blitz-on-ukraine-idUKBREA1O11S20140225
   Google Scholar
• Schill, D. (2012). The visual image and the political image: A review of visual communication research in the field of political communication. Review of Communication, 12(2), 118–142. https://doi.org/10.1080/15358593.2011.653504
   Google Scholar
• Schonfeld, M., Eckhardm, S., Patz, R., & van Meegdenburg, H. (2018). Discursive landscape and unsupervised topic modeling in IR: A validation of text-as-data approaches through a new corpus of UN security council speeches on Afghanistan. https://doi.org/10.48550/arXiv.1810.05572
   Google Scholar
• Schumacher, G., Hansen, D., van der Velden, M. A. C. G., & Kunst, S. (2019). A new dataset of Dutch and Danish party congress speeches. Research & Politics, 1–7. https://doi.org/10.1177/20531680198383
   Web of Science ®Google Scholar
• Scott, J. S., & Collins, J. (2020). Riled up about running for office: Examining the impact of emotions on political ambition. Politics, Groups & Identities, 8(2), 407–422. https://doi.org/10.1080/21565503.2020.1757806
   Google Scholar
• Seaton, K., & Wu, H. D. (2021). Making war and peace with emotion: Examining the Iraq and Iran cases via presidential speech and media coverage. International Political Science Review, In press. https://doi.org/10.1177/0192512120982498
   Web of Science ®Google Scholar
• Shukry, A. S. M. (2013). A critical discourse analysis of Mahathir Mohamad’s speeches on the “war on terror”. Intellectual Discourse, 21(2), 171–195. https://philpapers.org/rec/SHUACD
   Google Scholar
• Towner, T. L., & Munoz, C. L. (2022). A long story short: An analysis of Instagram stories during the 2020 campaigns. Journal of Political Marketing, 21(3–4), 221–234. https://doi.org/10.1080/15377857.2022.2099579
   Web of Science ®Google Scholar
• Wilkerson, J., & Casas, A. (2017). Large-scale computerized text analysis in political science: Opportunities and challenges. Annual Review of Political Science, 20, 529–544. https://doi.org/10.1146/annurev-polisci-052615-025542
   Web of Science ®Google Scholar
• Zagacki, K. S. (2007). Constitutive rhetoric reconsidered: Constitutive paradoxes in G.W. Bush’s Iraq war speeches. Western Journal of Communication, 71(4), 272–293. https://doi.org/10.1080/10570310701653786
   Google Scholar
• Zhukov, Y. (2022). VIINA: Violent incident information from news articles on the 2022 Russian invasion of Ukraine. University of Michigan, Center for Political Studies. Retrieved July 24, 2022, from https://github.com/zhukovyuri/VIINA
   Google Scholar